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» Methods of Automatic Algorithm Generation
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ECML
2005
Springer
15 years 12 months ago
Model-Based Online Learning of POMDPs
Abstract. Learning to act in an unknown partially observable domain is a difficult variant of the reinforcement learning paradigm. Research in the area has focused on model-free m...
Guy Shani, Ronen I. Brafman, Solomon Eyal Shimony
DAC
2003
ACM
15 years 11 months ago
Realizable RLCK circuit crunching
Reduction of an extracted netlist is an important pre-processing step for techniques such as model order reduction in the design and analysis of VLSI circuits. This paper describe...
Chirayu S. Amin, Masud H. Chowdhury, Yehea I. Isma...
149
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NAACL
2003
15 years 7 months ago
Shallow Parsing with Conditional Random Fields
Conditional random fields for sequence labeling offer advantages over both generative models like HMMs and classifiers applied at each sequence position. Among sequence labeling...
Fei Sha, Fernando C. N. Pereira
BIBE
2005
IEEE
126views Bioinformatics» more  BIBE 2005»
15 years 12 months ago
Highly Scalable and Accurate Seeds for Subsequence Alignment
We propose a method for finding seeds for the local alignment of two nucleotide sequences. Our method uses randomized algorithms to find approximate seeds. We present a dynamic ...
Abhijit Pol, Tamer Kahveci
WACV
2008
IEEE
16 years 21 days ago
Mosaicfaces: a discrete representation for face recognition
Most face recognition algorithms use a “distancebased” approach: gallery and probe images are projected into a low dimensional feature space and decisions about matching are b...
Jania Aghajanian, Simon J. D. Prince